Performance evaluation of semantic segmentation models: a cross meta-frontier DEA approach-Reference-Cited by-同舟云学术

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Performance evaluation of semantic segmentation models: a cross meta-frontier DEA approach

Published:2024-02-29 Issue: Volume: Page:1-15
ISSN:0160-5682
Container-title:Journal of the Operational Research Society
language:en
Short-container-title:Journal of the Operational Research Society

Author:

Yang Min¹²³,Wang Zixuan¹²³,Liang Liang¹²³,An Qingxian⁴

Affiliation:

1. Management School, Hefei University of Technology, Hefei, P.R. China

2. Key Laboratory of Process Optimization and Intelligent Decision-Making, Ministry of Education, Hefei, P.R. China

3. Intelligent Interconnection System Anhui Provincial Laboratory, Hefei, P.R. China

4. School of Business, Central South University, Changsha, P.R. China

Funder

National Natural Science Foundation of China

Fundamental Research Funds for the Central Universities

Young Scientific and Technological Talents Program of Hunan Province

Science Fund for Distinguished Young Scholars of AnHui

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/01605682.2024.2313116

Reference36 articles.

1. Structured Pruning of Deep Convolutional Neural Networks

2. SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation

3. Measuring the efficiency of decision making units

4. DEA models for ratio data: Convexity consideration

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